class TimeStatistic extends Statistic
The TimeStatistic
class is used to collect values and compute time-persistent
statistics on them (e.g., Number in Queue).
- See also
staff.unak.is/andy/Year%203%20Simulation/Laboratories/v4manual/internal.htm
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Instance Constructors
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new
TimeStatistic(name: String = "p-stat", _lastTime: Double = 0.0, _startTime: Double = 0.0)
- name
the name for this statistic (e.g., 'numberInQueue' or 'tellerQ')
- _lastTime
the time of last observation
- _startTime
the time observation began
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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-
def
accum(x: Double, t: Double): Unit
Accumulate the next value weighted by its time duration and update accumulators.
Accumulate the next value weighted by its time duration and update accumulators.
- x
the value to accumulate
- t
the time of the observation
-
final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
- Definition Classes
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final
def
flaw(method: String, message: String): Unit
- Definition Classes
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
interval(p: Double = .95): Double
Compute the confidence interval half-width for the given confidence level.
Compute the confidence interval half-width for the given confidence level.
- p
the confidence level
- Definition Classes
- Statistic
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
lastTime: Double
Return the last time statistics were recorded by this collector.
-
def
ma: Double
Compute/estimate the mean absolue value (ma), e.g., Mean Absolute Error (MAE).
Compute/estimate the mean absolue value (ma), e.g., Mean Absolute Error (MAE).
- Definition Classes
- Statistic
-
def
max: Double
Return the maximum value in sample.
Return the maximum value in sample.
- Definition Classes
- Statistic
-
var
maxX: Double
The maximum sample value
The maximum sample value
- Attributes
- protected
- Definition Classes
- Statistic
-
def
mean: Double
Compute/estimate the time-weighted mean.
Compute/estimate the time-weighted mean.
- Definition Classes
- TimeStatistic → Statistic
-
def
min: Double
Return the minimum value in sample.
Return the minimum value in sample.
- Definition Classes
- Statistic
-
var
minX: Double
The minimum sample value
The minimum sample value
- Attributes
- protected
- Definition Classes
- Statistic
-
def
ms: Double
Compute/estimate the mean square (ms), e.g., Mean Square Error (MSE).
Compute/estimate the mean square (ms), e.g., Mean Square Error (MSE).
- Definition Classes
- Statistic
-
var
n: Int
The number of samples
The number of samples
- Attributes
- protected
- Definition Classes
- Statistic
-
val
name: String
- Definition Classes
- TimeStatistic → Statistic
-
def
nd: Double
Return the number of samples as a double.
Return the number of samples as a double.
- Definition Classes
- Statistic
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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def
num: Int
Return the number of samples.
Return the number of samples.
- Definition Classes
- Statistic
-
def
reset(): Unit
- Definition Classes
- Statistic
-
def
rms: Double
Compute/estimate the root mean square (rms), e.g., Root Mean Square Error (RMSE).
Compute/estimate the root mean square (rms), e.g., Root Mean Square Error (RMSE).
- Definition Classes
- Statistic
-
def
show: String
Show the values of this collector's accumulators.
Show the values of this collector's accumulators.
- Definition Classes
- TimeStatistic → Statistic
-
def
startTime: Double
Return the time observation began.
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def
statRow: Array[Any]
Return the summary statistics as a row/Array.
Return the summary statistics as a row/Array.
- Definition Classes
- Statistic
-
def
stddev: Double
Compute/estimate the sample standard deviation.
Compute/estimate the sample standard deviation.
- Definition Classes
- Statistic
-
var
sum: Double
Sum of the sample values
Sum of the sample values
- Attributes
- protected
- Definition Classes
- Statistic
-
var
sumAb: Double
Sum of the sample absolute values
Sum of the sample absolute values
- Attributes
- protected
- Definition Classes
- Statistic
-
var
sumSq: Double
Sum of the sample values squared
Sum of the sample values squared
- Attributes
- protected
- Definition Classes
- Statistic
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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-
def
tally(x: Double): Unit
Disable the tally method (it is for sample statistics, not time-persistent statistics.
Disable the tally method (it is for sample statistics, not time-persistent statistics.
- x
the value to tally
- Definition Classes
- TimeStatistic → Statistic
-
def
toString(): String
Generate a row of statistical results as a string.
Generate a row of statistical results as a string.
- Definition Classes
- Statistic → AnyRef → Any
-
def
variance: Double
Compute/estimate the time-weighted variance.
Compute/estimate the time-weighted variance.
- Definition Classes
- TimeStatistic → Statistic
-
final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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Deprecated Value Members
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def
finalize(): Unit
- Attributes
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